What? Meet fellow bioinformaticians in Heidelberg, and discuss Biggest Challenges in Bioinformatics
When? Thursday October 18th, 2012, 19.00 - 21.00
Where? Grabengasse 3-5, Building 2170, Groundfloor, Hörsaal 12a.
How? At the 3rd HUB we'll be trying something new! Because you get to shape the programme, we want to try and write a collaborative article to help us disseminate what we think are the Biggest Challenges in Bioinformatics, and more importantly how we plan to solve them.
Who is coming? Check out the list of registered participants
- 1 Programme
- 2 Your contributions to shaping the programme
|19:00||Arrival, welcome and introduction to tonights concept. What is the World Cafe?|
|19:10||All participant discussion of aims and brain-storming/thought-shower!/selection of Biggest Challenges in Bioinformatics.|
|19:30||World cafe - 3 rounds of conversations of 20 minutes each).|
|20:30||Collation of ideas|
|20:55||Further planning and planning of next steps...|
|21:00||To the pub i.e. Essighaus, Plöck 97|
Your contributions to shaping the programme
Propose a Biggest Challenge in Bioinformatics
You don't have to suggest a Biggest Challenge in Bioinformatics before the meeting, but it would certainly be useful! You can of course just bring your ideas along on the night. If you've got an idea add it to the list here:
Propose a Flash Talk
The list of flash talks are here. We won't have time for one this time, but they'll be back at HUB4!
Please take a look at the Guidelines.
Adding details to interaction networks
- Matthew Betts
- CellNetworks / University of Heidelberg
- Many experimental methods for detecting protein-protein interactions tell us what interacts with what but not how. Protein 3D structure can provide these details in many cases. I'll explain how we use protein structure to explain interactions and to predict new ones, and how we use it to investigate the impact of mutations and post-translational modifications.
Fitting high throughput data to a Boolean network model
- Guy Karlebach
- DKFZ - Heidelberg
- Fitting between a high throughout dataset and a Boolean network model is an interesting problem with practical implications. In this flash talk I define the problem, analyze its complexity and present an algorithm for it.
- The talk is based on the following paper
A mathematical model of hindgut curvature
- Joseph Barry
- A novel mechanism for the maintenance of hindgut curvature in the developing Drosophila embryo is explained in the context of intercellular adhesion and the differential interfacial tension hypothesis.
PhenoTimer: connecting time-resolved phenotypes
- Maria Secrier
- Connecting genetic and phenotypic information in the context of temporal variation is an ongoing challenge in systems biology. I will introduce PhenoTimer, a visualization tool for mapping time-resolved phenotypic links in a genetic context. Its capabilities in discovering dynamic regulatory patterns within the cell cycle and potential in identifying links between diseases will be illustrated.